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Automatic derivation of use case diagrams from interrelated natural language requirements

Simon Schleifer (1), Adriana Lungu (2), Benjamin Kruse (2), Sebastiaan van Putten (2), Stefan Goetz (1), Sandro Wartzack (1)

Type:
Papers
Proceedings of the DESIGN2024 18th International Design Conference
Year:
2024
Editor:
Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović, Neven Pavković, Marija Majda Škec
Author:
Simon Schleifer (1), Adriana Lungu (2), Benjamin Kruse (2), Sebastiaan van Putten (2), Stefan Goetz (1), Sandro Wartzack (1)
Series:
DESIGN
Institution:
1: Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; 2: AUDI AG, Germany
Section:
Systems Engineering and Design
Page(s):
2725-2734
DOI number:
10.1017/pds.2024.275
ISSN:
2732-527X (Online)
Abstract:
Transferring natural language requirements to use case diagrams helps to avoid inherent ambiguities. However, this is usually a manual, time-consuming task that can be accelerated by utilizing Artificial Intelligence in terms of Natural Language Processing. Thus, this contribution proposes a conceptual framework for automatically grouping interrelated functional requirements and deriving use case diagrams by combining formerly isolated approaches. Moreover, the latter are evaluated by a qualitative potential analysis to support their future industrial application.
Keywords:
requirements management, model-based systems engineering (MBSE), artificial intelligence (AI), natural language processing (NLP), use case diagrams
18th International Design Conference (DESIGN 2024)
Conferences

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